Comparison of Flexible Fund Obligations by Purpose for UZAs > 1M (FY 1992-2002)

Table 94
COMPARISON OF FLEXIBLE FUND OBLIGATIONS BY PURPOSE FOR UZAs GREATER THAN 1 MILLION POPULATION
Includes All FTA Programs and Flexible Fund Types
FY 1992 through FY 2002

UZA Motor_veh
$		 Motor_veh
%		 Equip
$		 Equip
%		 Pssngr_fac
$		 Pssngr_fac
%		 Veh_fac
$		 Veh_fac
%		 Parking_fac
$		 Parking_fac
%		 New_serv
$		 New_serv
%		 Program
$		 Program
%		 Rail_vehs
$		 Rail_vehs
%		 Rail_line
$		 Rail_line
%		 Busway
$		 Busway
%		 Other
$		 Other
%		 Total
$		 Total
%
ATLANTA, GA 55,136,295 41.1 13,996,616 10.4 20,089,632 15.0 21,400,000 15.9 6,282,129 4.7 6,333,997 4.7 600,000 0.4 0 0.0 52,000 0.0 0 0.0 10,330,752 7.7 134,221,421 2.0
BALTIMORE, MD 19,133,524 27.0 69,476 0.1 0 0.0 0 0.0 1,232,000 1.7 0 0.0 3,081,052 4.3 36,352,757 51.3 0 0.0 0 0.0 11,024,191 15.6 70,893,000 1.0
BOSTON, MA 1,070,676 0.6 1,343,616 0.8 45,168,764 26.3 0 0.0 23,757,628 13.8 1,893,173 1.1 828,700 0.5 0 0.0 96,780,000 56.3 0 0.0 1,207,936 0.7 172,050,493 2.5
CHICAGO, IL-IN 54,359,400 18.3 3,118,750 1.1 109,070,307 36.8 9,304,520 3.1 25,357,019 8.5 15,581,570 5.3 652,696 0.2 11,500,000 3.9 51,134,180 17.2 0 0.0 16,503,200 5.6 296,581,642 4.4
CINCINNATI,OH-KY 20,013,499 39.6 0 0.0 0 0.0 2,000,000 4.0 7,031,937 13.9 130,000 0.3 6,287,550 12.4 0 0.0 10,695,000 21.2 0 0.0 4,359,639 8.6 50,517,625 0.7
CLEVELAND, OH 31,827,200 51.4 0 0.0 14,588,000 23.6 4,764,800 7.7 6,180,000 10.0 0 0.0 0 0.0 0 0.0 0 0.0 1,900,000 3.1 2,619,484 4.2 61,879,484 0.9
DALLAS-FT. WORTH, TX 22,662,250 20.0 5,818,162 5.1 27,237,443 24.1 0 0.0 862,400 0.8 0 0.0 11,892,777 10.5 5,445,000 4.8 27,540,001 24.4 0 0.0 11,605,359 10.3 113,063,392 1.7
DENVER, CO 4,440,000 8.2 610,000 1.1 9,799,000 18.2 0 0.0 0 0.0 4,700,000 8.7 0 0.0 779,000 1.4 31,621,000 58.6 0 0.0 2,000,000 3.7 53,949,000 0.8
DETROIT, MI 45,297,789 64.3 1,883,688 2.7 2,836,763 4.0 4,960,000 7.0 0 0.0 15,094,143 21.4 300,000 0.4 0 0.0 0 0.0 0 0.0 122,630 0.2 70,495,013 1.0
FT. LAUD-HLLYWD-POMP BCH, FL 1,500,000 10.0 875,000 5.9 2,066,000 13.8 0 0.0 0 0.0 1,500,000 10.0 0 0.0 0 0.0 9,000,000 60.2 0 0.0 0 0.0 14,941,000 0.2
HOUSTON, TX 0 0.0 8,193,120 18.0 0 0.0 1,200,000 2.6 488,000 1.1 31,403,312 69.1 0 0.0 0 0.0 0 0.0 0 0.0 4,136,480 9.1 45,420,912 0.7
KANSAS CITY, KS-MO 679,869 3.9 0 0.0 6,468,878 36.8 475,000 2.7 975,000 5.6 6,263,306 35.7 588,960 3.4 0 0.0 0 0.0 0 0.0 2,115,000 12.0 17,566,013 0.3
LOS ANGELES, CA 557,214,734 41.6 21,735,876 1.6 39,088,000 2.9 89,457,876 6.7 1,313,000 0.1 67,100,000 5.0 54,550,000 4.1 117,377,000 8.8 356,664,361 26.6 0 0.0 34,716,637 2.6 1,339,217,484 19.7
MIAMI-HIALEAH, FL 0 0.0 0 0.0 15,992,856 25.8 0 0.0 0 0.0 3,251,362 5.2 0 0.0 0 0.0 2,250,000 3.6 36,583,059 59.0 3,962,800 6.4 62,040,077 0.9
MILWAUKEE, WI 3,624,000 20.1 0 0.0 0 0.0 0 0.0 0 0.0 11,533,006 63.9 535,630 3.0 0 0.0 0 0.0 0 0.0 2,351,239 13.0 18,043,875 0.3
MINNEAPOLIS-ST. PAUL, MN 11,552,428 10.9 7,993,600 7.6 12,851,467 12.2 0 0.0 3,378,652 3.2 17,282,174 16.4 1,600,000 1.5 0 0.0 35,960,000 34.0 0 0.0 15,065,453 14.3 105,683,774 1.6
NEW ORLEANS, LA 6,839,288 67.1 25,168 0.2 3,200,000 31.4 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 135,544 1.3 10,200,000 0.2
NEW YORK, NY-NORTHEASTERN NJ 96,292,907 6.6 25,611,280 1.8 431,619,899 29.7 97,513,588 6.7 10,892,170 0.8 39,753,871 2.7 0 0.0 95,289,900 6.6 602,740,582 41.5 0 0.0 51,250,589 3.5 1,450,964,786 21.4
NORFOLK-VA BCH-NWPRT NWS, VA 30,447,400 42.4 3,196,000 4.4 2,982,400 4.2 800,000 1.1 0 0.0 10,530,096 14.7 3,538,880 4.9 0 0.0 0 0.0 0 0.0 20,355,200 28.3 71,849,976 1.1
PHILADELPHIA, PA-NJ 91,686,973 31.9 3,004,336 1.0 44,021,942 15.3 632,000 0.2 13,470,020 4.7 4,480,619 1.6 418,000 0.1 85,562,079 29.8 41,407,930 14.4 0 0.0 2,860,793 1.0 287,544,692 4.2
PHOENIX, AZ 68,379,261 74.4 3,196,339 3.5 3,130,505 3.4 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 17,154,954 18.7 91,861,059 1.4
PITTSBURGH, PA 9,491,728 5.3 18,380 0.0 222,000 0.1 130,000 0.1 7,174,892 4.0 17,973,500 10.1 0 0.0 0 0.0 9,009,272 5.1 126,434,106 71.2 7,007,964 3.9 177,461,842 2.6
PORTLAND-VANCOUVER, OR-WA 58,300,569 33.1 6,735,835 3.8 1,719,000 1.0 1,273,310 0.7 2,480,061 1.4 1,651,779 0.9 4,079,573 2.3 2,126,601 1.2 69,928,914 39.8 0 0.0 27,623,274 15.7 175,918,916 2.6
RIVERSIDE-SAN BERNARDINO, CA 21,568,085 73.6 101,801 0.3 0 0.0 0 0.0 0 0.0 1,544,964 5.3 0 0.0 0 0.0 3,200,000 10.9 0 0.0 2,907,000 9.9 29,321,850 0.4
SACRAMENTO, CA 35,481,606 16.4 1,116,237 0.5 10,538,006 4.9 5,921,240 2.7 0 0.0 3,552,501 1.6 88,000 0.0 0 0.0 149,953,707 69.1 0 0.0 10,263,278 4.7 216,914,575 3.2
SAN DIEGO, CA 60,215,209 63.9 1,288,000 1.4 5,789,000 6.1 0 0.0 0 0.0 9,734,783 10.3 1,500,000 1.6 1,673,000 1.8 10,027,766 10.6 0 0.0 3,969,000 4.2 94,196,758 1.4
SAN FRANCISCO-OAKLAND, CA 74,693,677 12.9 56,467,185 9.8 39,488,930 6.8 47,218,382 8.2 4,813,000 0.8 7,555,110 1.3 0 0.0 127,216,000 22.0 135,392,946 23.5 0 0.0 84,442,641 14.6 577,287,871 8.5
SAN JOSE, CA 11,176,000 4.6 5,820,000 2.4 4,307,596 1.8 11,894,748 4.9 1,280,000 0.5 0 0.0 0 0.0 0 0.0 206,297,757 85.4 0 0.0 869,345 0.4 241,645,446 3.6
SAN JUAN, PR 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 0 0.0 219,888,749 100.0 0 0.0 0 0.0 219,888,749 3.2
SEATTLE, WA 14,127,354 8.7 8,813,000 5.5 21,696,524 13.4 740,000 0.5 3,053,000 1.9 10,860,384 6.7 10,159,939 6.3 53,898,174 33.3 10,274,826 6.4 0 0.0 28,024,996 17.3 161,648,197 2.4
ST. LOUIS, IL-MO 70,648,054 75.1 0 0.0 7,698,214 8.2 0 0.0 9,255,026 9.8 201,840 0.2 1,583,381 1.7 0 0.0 0 0.0 0 0.0 4,676,696 5.0 94,063,211 1.4
TAMPA-ST. PETE-CLEARWATER, FL 32,268,006 57.1 1,445,794 2.6 5,000,000 8.8 232,000 0.4 0 0.0 0 0.0 0 0.0 4,125,000 7.3 6,900,000 12.2 0 0.0 6,580,800 11.6 56,551,600 0.8
WASHINGTON, DC-MD-VA 107,624,905 53.8 1,162,600 0.6 19,017,914 9.5 3,511,543 1.8 4,508,000 2.3 4,203,023 2.1 700,000 0.4 1,880,000 0.9 52,381,347 26.2 0 0.0 4,980,000 2.5 199,969,332 2.9
TOTAL 1,617,752,686 23.8 183,639,859 2.7 905,689,040 13.4 303,429,007 4.5 133,783,934 2.0 294,108,513 4.3 102,985,138 1.5 543,224,511 8.0 2,139,100,338 31.5 164,917,165 2.4 395,222,874 5.8 6,783,853,065 100.0